Prashanth Wagle

Graduate Student Researcher at UVA Biocomplexity Institute
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Contact Information
us****@****om
(386) 825-5501
Location
Charlottesville, US
Languages
  • English Full professional proficiency
  • Kannada Full professional proficiency
  • Hindi Limited working proficiency
  • Konkani Limited working proficiency

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Aditya Pai

Prashanth is a dedicated coder with a deep knowledge of Linux based operating systems and networks. His practical experience in IoT, cloud based systems and app development makes him compatible with teams working on cutting-edge tech in fast paced environments.

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Experience

    • United States
    • Research Services
    • 1 - 100 Employee
    • Graduate Student Researcher
      • Sep 2022 - Present

      At the Social and Decision Analytics Division at the UVA Biocomplexity Institute, I worked as a Software Developer where I developed the open-source software package required for data presentation for the open-knowledge repository to the stakeholders using JavaScript.I also collaborated with data scientists for improving the data science pipeline in the perspective of a software developer ★ Overhauled legacy components and eliminated code dependencies, resulting in a 36% performance… Show more At the Social and Decision Analytics Division at the UVA Biocomplexity Institute, I worked as a Software Developer where I developed the open-source software package required for data presentation for the open-knowledge repository to the stakeholders using JavaScript.I also collaborated with data scientists for improving the data science pipeline in the perspective of a software developer ★ Overhauled legacy components and eliminated code dependencies, resulting in a 36% performance increase ★ Improved the rendering performance of the web components by 25-60 ms by profiling and analyzing using DevTools

    • Data Science Intern
      • May 2023 - Aug 2023

      As a Data Science Intern at the Biocomplexity Institute, I mostly worked with Python in constructing a comprehensive dataset of 60k records from varuious sources and formulated statistical models to track the economic activities of minority-owned businesses across the Fairfax County, enabling inclusive policymaking for local governments. ★ Enhanced identification of businesses, yielding a 35% enhancement over other industry standard datasets ★ Led coordination and mentorship of… Show more As a Data Science Intern at the Biocomplexity Institute, I mostly worked with Python in constructing a comprehensive dataset of 60k records from varuious sources and formulated statistical models to track the economic activities of minority-owned businesses across the Fairfax County, enabling inclusive policymaking for local governments. ★ Enhanced identification of businesses, yielding a 35% enhancement over other industry standard datasets ★ Led coordination and mentorship of undergrad interns, driving the enhancement of an open-knowledge repository for longitudinal business activity monitoring, eliminating costly manual surveys

    • India
    • Higher Education
    • 100 - 200 Employee
    • Software Engineer | R&D
      • Sep 2020 - Aug 2022

      As a software engineer at the startup, I worked on on the entire software stack of the enterprise web applications (fullstack) and on the DevOps side of things. Here, I Engineered full stack web apps, automations, and event driven and RESTful serverless APIs on Amazon Web Services using JavaScript, React, Node.js and Python. ★ Optimized serverless computing functions to improve API response times and achieve performance gains of 17% to 32% ★ Integrated existing and new APIs into a… Show more As a software engineer at the startup, I worked on on the entire software stack of the enterprise web applications (fullstack) and on the DevOps side of things. Here, I Engineered full stack web apps, automations, and event driven and RESTful serverless APIs on Amazon Web Services using JavaScript, React, Node.js and Python. ★ Optimized serverless computing functions to improve API response times and achieve performance gains of 17% to 32% ★ Integrated existing and new APIs into a Single Signon Dashboard, thus consolidating internal operations of the company ★ Automated bulk document generation for a key business domain, enhancing efficiency and reducing failure rates by 20%, while collaborating with cross-functional teams to improve the workflow ★ Engineered Infrastructure as Code for the cloud architecture and migrated logic to serverless, resulting in reduced cost and management and deployment efforts

    • Software Developer Intern
      • Jan 2020 - Sep 2020

      ★ Initiated development of Single-Sign-On system for employee and client management ★ Consolidated and modified existing APIs into an internal dashboard, reducing task completion time by 33% ★ Automated recording, distribution, and management of online meetings and lecture sessions through webhooks and SDKs

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Research Intern
      • Sep 2019 - Aug 2020

      ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on… Show more ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on the test dataset. Show less ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on… Show more ★ Collaborated with Unisys on the "Network Protection using Machine Learning" project as part of an industry-academia partnership with NMIT. ★ Led the development of an intrusion detection system based on machine learning, which incorporated heuristics to generate firewall policies for network connections based on threat and usage characteristics. ★ Published research findings on machine learning, demonstrating maximum cross-validation mean scores of 99% on the training dataset and 86% on the test dataset. Show less

    • Higher Education
    • 700 & Above Employee
    • Summer Intern
      • Jun 2019 - Jul 2019

      ★ Spearheaded the development of an indoor navigation system using Bluetooth beacons. ★ Implemented safety features for buildings and proximity marketing using the novel BLE technology. ★ Developed an Android app that enables navigation in indoor commercial spaces ★ Spearheaded the development of an indoor navigation system using Bluetooth beacons. ★ Implemented safety features for buildings and proximity marketing using the novel BLE technology. ★ Developed an Android app that enables navigation in indoor commercial spaces

Education

  • University of Virginia
    Master of Science - MS, Computer Science
    2022 - 2023
  • Nitte Meenakshi Institute of Technology
    Bachelor of Engineering - BE, Information Technology
    2016 - 2020

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